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Ingeniería, investigación y tecnología
On-line version ISSN 2594-0732Print version ISSN 1405-7743
Abstract
SALAZAR-HORNIG, E.J. and ROJAS-OYARZUN, R.S.. Multi-Objective Configuration of Manufacturing Systems Using Evolutionary Strategies. Ing. invest. y tecnol. [online]. 2010, vol.11, n.4, pp.423-430. ISSN 2594-0732.
A multi-objective optimization method using the evolutionary strategy known as (μ+λ)-ES to determine the configuration of a dynamic flexible jobshop manufacturing system with multiple multi-capacity workcenters is presented. The population of solutions, which evolve from generation to generation is evaluated by simulation. The number of identical machines at each work station is de termined, balancing the re source utilization and jobs flowtime. The method is applied to a prototype system, but it can be generalized to any problem of system configuration and resource type (discrete or continuous).
Keywords : System configuration; multiobjective optimization; evolutionary algorithms; evolutionary strategies; simulation.